# pdfmux

> Use this tool when you need to convert PDF files to Markdown format with precision, as it routes each page to the most suitable backend converter and provides confidence scoring for reliable ingestion into Retrieval-Augmented Generation (RAG) systems, accepting PDF inputs and producing Markdown outputs. It solves problems of inconsistent conversion quality and facilitates seamless integration with RAG pipelines. Ideal for applications requiring accurate and efficient PDF-to-Markdown conversion, such as document processing and knowledge graph construction.

Canonical page: https://skillsregistry.net/skills/io-github-nameetp-pdfmux  
JSON: https://api.skillsregistry.net/v1/skills/io-github-nameetp-pdfmux

## Description

PDF-to-Markdown router. Per-page backend selection + confidence scoring for RAG ingestion.

## Trust

- **Trust score (0–1):** 0.46
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.5.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.NameetP%2Fpdfmux)
- **Repository:** <https://github.com/NameetP/pdfmux>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-nameetp-pdfmux"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-nameetp-pdfmux` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-nameetp-pdfmux/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt